Counteraction of Customs Authorities to Dubious Currency Transactions in the Implementation of Foreign Trade Activities
Bibliographic record
Abstract
The article considers the directions and conditions of the Federal Customs Service in 2020 and the 1st quarter of 2021 for the implementation of the function of the currency control authority. It summarizes the measures taken by the customs authorities of the Russian Federation to identify, prevent and suppress dubious foreign exchange transactions in the implementation of foreign trade activities in the conditions of the reform of the structure of customs authorities and the division of powers between electronic customs and customs of actual control. The main attention is paid to measures to optimize the forces and resources divisions of customs authorities that ensure the implementation of currency control functions, updating regulations, and develop methodological and information-technical support. The results of the activities of the customs authorities to counteract dubious currency transactions are determined, the main tasks of the customs authorities in the field of currency control in the implementation of foreign trade activities are formulated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".